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Charlotte Barrie Profile - Berenberg Bank Analyst
4 Followers
Charlotte Barrie Berenberg Bank
Wall Street Analyst
Success Rate
9 out of 27 ratings made a profit
Average Return
-14.80%
Average return per rating
Time Frame
Compare to
Copying Charlotte Barrie's trades since 2021 and holding each position for 1 Year would result in 33.33% of your transactions generating a profit, with an average return of -14.8% per rating.
Stock Rating Distribution
91.89% Buy
8.11% Hold
0.00% Sell
Distribution of Charlotte Barrie's ratings
Additional Information
Main Sector:General
Geo Coverage:
Best Rating
Stock:
Loungers Plc
(LGRS)
(LGRS)
Rating:Buy
Date:Jul 27, 2023 - Jul 27, 2024
Return:+49.30%
The most profitable rating made by Charlotte Barrie
Charlotte Barrie's Stock Coverage
Hotel Chocolat
Oct 08, 2021
Hold
Reiterated
―
1Ratings
―
0.00%
Ten Entertainment
Jul 08, 2022
Buy
Reiterated
―
6Ratings
+7.18%
Naked Wines plc
Jul 19, 2022
Hold
Reiterated
140.00p
(90.74% Upside)
2Ratings
―
0.00%
Moonpig Group Plc
Jun 28, 2024
Buy
Reiterated
280.00p
(32.08% Upside)
12Ratings
-38.32%
Loungers Plc
Oct 01, 2024
Buy
Reiterated
―
16Ratings
-0.61%
List of latest recommendations made by Charlotte Barrie. Click to expand and see Charlotte Barrie's performance on a particular stock
Disclaimer: TipRanks collects analysts’ ratings and price targets by scanning publicly available reports on financial websites and by receiving reports from analysts, firms, or customers. The information and statistics displayed might not be accurate, complete, or up-to-date. The analyst ratings provided are the sole responsibility of the source publication. TipRanks holds no liability over the analysts' information, price targets, ratings, or opinions expressed.
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Learn More >About Analyst Ratings
About Analyst Ratings
Analyst ratings represent professional recommendations - Buy, Hold, or Sell - issued for a specific stock. Each rating reflects the analyst’s view at the time of publication and is tracked to measure historical performance.
Ratings Count
The total number of analyst ratings (Buy, Hold, and Sell) issued for the stock. This includes all published recommendations, even those not used in performance calculations.
Performance Calculation
To ensure accuracy and prevent duplication, only certain ratings are included in performance metrics:
•
One rating per analyst per month: If an analyst publishes more than one rating in a month, only the first is counted.
•
Updated ratings end prior ones: If the analyst changes their stance during that month (for example, from Buy to Sell), performance tracking for the earlier rating stops immediately on the update date, and the new rating begins tracking from that point forward.
•
Hold ratings excluded: Hold recommendations are displayed on the chart but are not counted in performance or return calculations.
Example
If an analyst rates a stock Buy on April 1 and changes it to Sell on April 20, the Buy rating’s performance is measured from April 1 to April 20. From April 20 onward, only the Sell rating is tracked.
Success Rate
Indicates the percentage of performance-accounted ratings that generated a positive return during their active period. For example, if 6 out of 17 accounted ratings were profitable, the success rate is 35%.
Average Return
Represents the mean return per active rating - showing the average gain or loss an analyst’s recommendation produced while it was active.
Charlotte Barrie activity FAQ
What is the performance of Charlotte Barrie's recommendations?
The percentage of profitable recommendations made by Charlotte Barrie is 33%, and the average return per transaction is -14.80%.
What stocks does Charlotte Barrie cover?
What was Charlotte Barrie's most profitable rating?
Charlotte Barrie’s most profitable ratings was a buy on GB:LGRS stock on Jul 27, 2023 - Jul 27, 2024. The return on the trade was +49.30%.
Where can I see a list of stock analyst ratings?
You can see a list of daily stock analyst ratings here.
What are the most recommended stocks by analysts?
You can see a list of the most recommended stocks by analysts here